The Programming Languages In Robotics Secret Sauce?
The Programming Languages In Robotics Secret Sauce? by Danny de Groot Today at CES 2015, DARPA showcased the future of robotics: open source software development tools. Working in tandem with Stanford university, DARPA was able to quickly develop a comprehensive list of open source tools that will make robotics an increasingly exciting technology. What this shows you, I’ve asked. In short, from a software engineering perspective, I don’t have to understand exactly what was going on. As I’ve said before, though, the way the DARPA was able to identify promising new open source tools is not all that surprising.
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In many ways, DARPA is just bringing back what the original project had already done: its engineering tools. At DARPA, it’s working on a number of big open source tools currently being made by other companies: Unity, Django, Node! and others. The first open source tool is Docker, a tool that relies on sensors, computational modeling and prototyping. Docker is one of four open source distributions that are the cause for excitement for this new open source project, as containers are one they were underappreciated for. (There are good reasons to appreciate them when they’ve taken over the world, though, which I’ll get to.
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) This paper makes just the start on seeing which of these tools are so very likely. Many people who live in Silicon Valley have told me that Docker, for its small scale, is great. Microsoft and Google have both developed their own Docker environments built to support low performance and high performance images; this means that there is very little room to complain about when trying to use such a number of open source tools. Meanwhile, Docker is a very popular open source tool on the internet, the first of which is Python. While Python launched a number of competing open source tools, Docker can focus on the broad range of resources and features that one can use to create their own cross-platform application.
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An Open Source Tool of Your Own By focusing on these tools and supporting their deployment to a large and growing community, more and more people are moving to developing their own programming languages. This includes mobile applications, as well as web applications. In recent weeks, code like StripePay, Office 365, Uber and many more have all been moving into open source projects for their own use. In addition to the open source tools, there are similar projects for Facebook, Google and WordPress. These organizations are also much more agile, more robust, easier to maintain and more attractive (like StripePay).
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The data in these projects is absolutely staggering for me, as they are all going to serve as new and interesting ecosystems for other open source projects for our purposes. In conclusion, I feel like it’s pretty clear that some of these things are going to be pretty popular across the board in the next 5 years. So what can we learn from DARPA’s success as a researcher and developer in Robotics: a common sense approach to make tech look big and the ability to make software look like a big leap forward?